How to cache LLM calls in LangChain

As the demand for machine learning models and data processing pipelines increases, there is a growing need to optimize these systems for speed and efficiency. One of the key ways to achieve this is through caching.

Caching in a nutshell is storing the result of an expensive computation so that, if the same computation is needed again, the result can be retrieved from the cache instead of being…